IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v84y1998i1p59-74.html
   My bibliography  Save this article

Tests of non-nested regression models some results on small sample behaviour and the bootstrap

Author

Listed:
  • Godfrey, L. G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
  • Handle: RePEc:eee:econom:v:84:y:1998:i:1:p:59-74
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304-4076(97)00079-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. M. H. Pesaran, 1974. "On the General Problem of Model Selection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(2), pages 153-171.
    3. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April.
    4. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    5. Dastoor, Naorayex K., 1981. "A note on the interpretation of the Cox procedure for non-nested hypotheses," Economics Letters, Elsevier, vol. 8(2), pages 113-119.
    6. Godfrey, Leslie G., 1996. "Some results on the Glejser and Koenker tests for heteroskedasticity," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 275-299.
    7. Davidson, Russell & MacKinnon, James G., 1999. "The Size Distortion Of Bootstrap Tests," Econometric Theory, Cambridge University Press, vol. 15(3), pages 361-376, June.
    8. Godfrey, L. G. & Pesaran, M. H., 1983. "Tests of non-nested regression models: Small sample adjustments and Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 21(1), pages 133-154, January.
    9. Fisher, Gordon R. & McAleer, Michael, 1981. "Alternative procedures and associated tests of significance for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 16(1), pages 103-119, May.
    10. Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.
    11. Dastoor, Naorayex K. & McAleer, Michael, 1989. "Some Power Comparisons of Joint and Paired Tests for Nonnested Models under Local Hypotheses," Econometric Theory, Cambridge University Press, vol. 5(1), pages 83-94, April.
    12. White, Halbert, 1982. "Regularity conditions for cox's test of non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 301-318, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davidson, Russell & MacKinnon, James G., 2002. "Bootstrap J tests of nonnested linear regression models," Journal of Econometrics, Elsevier, vol. 109(1), pages 167-193, July.
    2. Godfrey, L.G., 2007. "Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3282-3295, April.
    3. Yang, Ji-Chung, 2005. "Impact measurement for public investment evaluation: An application to Korea," Journal of Policy Modeling, Elsevier, vol. 27(5), pages 535-551, July.
    4. Otsu, Taisuke & Whang, Yoon-Jae, 2011. "Testing For Nonnested Conditional Moment Restrictions Via Conditional Empirical Likelihood," Econometric Theory, Cambridge University Press, vol. 27(1), pages 114-153, February.
    5. Kenneth Stewart & Kenneth Stewart, 2000. "GNR, MGR, and exact misspeclfication testing," Econometric Reviews, Taylor & Francis Journals, vol. 19(2), pages 233-240.
    6. Nicolas DEBARSY & Cem ERTUR, 2016. "Interaction matrix selection in spatial econometrics with an application to growth theory," LEO Working Papers / DR LEO 2172, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    7. Godfrey, Leslie G., 2007. "On the asymptotic validity of a bootstrap method for testing nonnested hypotheses," Economics Letters, Elsevier, vol. 94(3), pages 408-413, March.
    8. Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
    9. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    10. West, Kenneth D., 2001. "Encompassing tests when no model is encompassing," Journal of Econometrics, Elsevier, vol. 105(1), pages 287-308, November.
    11. Luger, Richard, 2006. "Exact permutation tests for non-nested non-linear regression models," Journal of Econometrics, Elsevier, vol. 133(2), pages 513-529, August.
    12. Liew Khim Sen & Ahmad Zubaidi Baharumshah & Choo Wei Chong & Habshah Midi, 2003. "A Non-parametric Bootstrap Simulation Study in ESTAR (1) Model," GE, Growth, Math methods 0307005, University Library of Munich, Germany.
    13. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
    14. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    15. Francisco Cribari-Neto & Sadraque E.F. Lucena, 2015. "Nonnested hypothesis testing in the class of varying dispersion beta regressions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 967-985, May.
    16. Han, Xiaoyi & Lee, Lung-fei, 2013. "Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 250-271.
    17. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    18. Berg, Nathan, 2004. "No-decision classification: an alternative to testing for statistical significance," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 631-650, November.
    19. Leslie G. Godfrey, 2005. "Controlling the Overall Significance Level of a Battery of Least Squares Diagnostic Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 263-279, April.
    20. James G. MacKinnon, 1983. "Model Specification Tests Against Non-Nested Alternatives," Working Paper 573, Economics Department, Queen's University.
    21. Maria-Isabel Ayuda & Antonio Aznar, 2000. "Power in non-nested models: a comparative study," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 483-486.
    22. BHATTI, M.Ishaq & BODLA, Mahmud, A., 2008. "Empirical Power Comparison Of Non-Nested Tests For The Evm: Some Monte Carlo Evidence," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 5(2).
    23. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    24. Russell Davidson & James MacKinnon, 2002. "Fast Double Bootstrap Tests Of Nonnested Linear Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 419-429.
    25. N. Coulibaly & B. Wade Brorsen, 1999. "Monte carlo sampling approach to testing nonnested hypothesis: monte carlo results," Econometric Reviews, Taylor & Francis Journals, vol. 18(2), pages 195-209.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Davidson, Russell & MacKinnon, James G., 2002. "Bootstrap J tests of nonnested linear regression models," Journal of Econometrics, Elsevier, vol. 109(1), pages 167-193, July.
    2. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    3. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    4. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2007. "Scale variable specification in a money demand function for Malaysia," Journal of Asian Economics, Elsevier, vol. 18(6), pages 867-882, December.
    5. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    6. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    7. Pons Novell, Jordi, 1997. "Selección de modelos no anidados. Un estudio de Monte Carlo," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 131-139, Junio.
    8. Elyasiani, Elyas & Zadeh, Ali H. M., 1999. "Econometric tests of alternative scale variables in money demand in open economies: International evidence from selected OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(2), pages 193-211.
    9. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    10. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    11. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    12. Xu, T.T., 2012. "The role of credit in international business cycles," Cambridge Working Papers in Economics 1202, Faculty of Economics, University of Cambridge.
    13. Moosa, Imad & Naughton, Tony & Li, Larry, 2009. "Exchange Rate Regime Verifi cation: Has China Actually Moved from a Dollar Peg to a Basket Peg? Peg?," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 62(1), pages 41-67.
    14. Agresti, Alan & Caffo, Brian, 2002. "Measures of relative model fit," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 127-136, April.
    15. Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
    16. Sulaiman Al-Jassar, 2019. "Fundamental and Technical Trading in the Emerging Market of an Oil-Based Economy," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-19, March.
    17. Michelis, Leo, 1999. "The distributions of the J and Cox non-nested tests in regression models with weakly correlated regressors," Journal of Econometrics, Elsevier, vol. 93(2), pages 369-401, December.
    18. Mcaleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative Approaches To Testing Non-Nested Models With Autocorrelated Disturbances: An Application To Models Of Us Unemployment," Cambridge Working Papers in Economics 9013, Faculty of Economics, University of Cambridge.
    19. J. Paul Elhorst, 1998. "A note on the linear, logit and probit functional form of the labour force participation rate equation," ERSA conference papers ersa98p111, European Regional Science Association.
    20. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:econom:v:84:y:1998:i:1:p:59-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jeconom .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.